Jose Rosiles

Edge directed image interpolation with Bamberger pyramids

Proceedings of SPIE, Jan 1, 2005

Edge directed image interpolation with Bamberger pyramids. [Proceedings of SPIE 5909, 590917 (200... more

Compression of sar and ultrasound imagery using texture models

dcc, Jan 1, 1999

Page 1. Compression of SAR and Ultrasound Imagery Using Texture Models Jos e-Gerardo Rosiles, Mar... more

SAR image speckle removal using Bamberger pyramids

Image Processing, 2006 …, Jan 1, 2006

Page 1. SAR IMAGE SPECKLE REMOVAL USING BAMBERGER PYRAMIDS Jose Gerardo Rosiles Elec. and Comp. E... more

Achieving idempotence in near-lossless JPEG-LS

Proceedings of SPIE, Jan 1, 2000

Achieving idempotence in near-lossless JPEG-LS. [Proceedings of SPIE 3974, 685 (2000)]. Lyman Hur... more

Affine scaling transformation algorithms for harmonic retrieval in a compressive sampling framework

Proc. of Wavelets XII, SPIE, Jan 1, 2007

In this paper we investigate the use of the Affine Scaling Transformation (AST) family of algorit... more In this paper we investigate the use of the Affine Scaling Transformation (AST) family of algorithms in solving the sparse signal recovery problem of harmonic retrieval for the DFT-grid frequencies case. We present the problem in the more general Compressive Sampling/Sensing (CS) framework where any set of incomplete, linearly independent measurements can be used to recover or approximate a sparse signal. The compressive sampling problem has been approached mostly as a problem of ℓ 1 norm minimization, which can be solved via an associated linear programming problem. More recently, attention has shifted to the random linear projection measurements case. For the harmonic retrieval problem, we focus on linear measurements in the form of: consecutively located time samples, randomly located time samples, and (Gaussian) random linear projections.

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Rotation invariant texture classification using bamberger pyramids

Multimedia and Expo, …, Jan 1, 2005

We study the application of the Bamberger directional filter bank to the problem of rotation inva... more We study the application of the Bamberger directional filter bank to the problem of rotation invariant texture classification. We explore the use of purely directional decompositions and the use of polar-separable Bamberger pyramids. We obtain comparable classification performance to Gabor-based methods using a smaller feature set.

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A low complexity overcomplete directional image pyramid

Image Processing, 2003. ICIP 2003. …, Jan 1, 2003

Page 1. A LOW COMPLEXITY OVERCOMPLETE DIRECTIONAL IMAGE PYRAMID JosL Gernrdo Rosiles and Mark J. ... more

Image and texture analysis using biorthogonal angular filter banks

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Image denoising using directional filter banks

Image Processing, 2000. …, Jan 1, 2000

Page 1. IMAGE DENOISING USING DIRECTIONAL FILTER BANKS Jose&amp;#x27; Gerard0 Rosiles and Mar... more

Texture classification with a biorthogonal directional filter bank

icassp, Jan 1, 2001

Classifying textures is a problem that has been considered by many researchers. Many of the high ... more Classifying textures is a problem that has been considered by many researchers. Many of the high performance methods are based on extracting features from the textures and performing classification in the feature space. In this paper, we consider the application of a new directional filter bank (DFB) to the problem of texture classification. The DFB is used to provide a compact and efficient representation in which fast classification can be performed using classical statistical methods. The resulting method is shown to yield higher performance than feature-based techniques reported previously. Furthermore, the approach has the added attraction that both the computational complexity and storage requirements are relatively low. Experimental comparisons using the Brodatz texture database are presented at the end of the paper.

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